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Research ArticleOriginal Research

Treatment Failure and Costs in Patients With Methicillin-Resistant Staphylococcus aureus (MRSA) Skin and Soft Tissue Infections: A South Texas Ambulatory Research Network (STARNet) Study

Matthew J. Labreche, Grace C. Lee, Russell T. Attridge, Eric M. Mortensen, Jim Koeller, Liem C. Du, Natalie R. Nyren, Lucina B. Treviño, Sylvia B. Treviño, Joel Peña, Michael W. Mann, Abilio Muñoz, Yolanda Marcos, Guillermo Rocha, Stella Koretsky, Sandra Esparza, Mitchell Finnie, Steven D. Dallas, Michael L. Parchman and Christopher R. Frei
The Journal of the American Board of Family Medicine September 2013, 26 (5) 508-517; DOI: https://doi.org/10.3122/jabfm.2013.05.120247
Matthew J. Labreche
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Grace C. Lee
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Russell T. Attridge
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Eric M. Mortensen
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Jim Koeller
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Liem C. Du
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Natalie R. Nyren
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Lucina B. Treviño
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Sylvia B. Treviño
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Joel Peña
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Michael W. Mann
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Abilio Muñoz
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Yolanda Marcos
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Guillermo Rocha
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Stella Koretsky
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Sandra Esparza
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
MD
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Mitchell Finnie
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Steven D. Dallas
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Michael L. Parchman
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Christopher R. Frei
From the Division of Pharmacotherapy, College of Pharmacy, University of Texas at Austin, Austin (MJL, GCL, JK, CRF); the Pharmacotherapy Education and Research Center, School of Medicine (MJL, GCL, JK, CRF); the South Texas Ambulatory Research Network (LCD, NRN, LBT, SBT, JP, MWM, AM, YM, GR, SK, SE, MF); the School of Health Professions, Clinical Laboratory Sciences (SDD), University of Texas Health Science Center, San Antonio; the Feik School of Pharmacy, University of the Incarnate Word, San Antonio, TX (RTA); the Division of General Internal Medicine, VA North Texas Health Care System, Dallas (EMM); the Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas (EMM); and the MacColl Center for Health Care Innovation, Group Health Research Institute, Group Health Cooperative, Seattle, WA (MLP).
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Abstract

Objective: To measure the incidence of treatment failure and associated costs in patients with methicillin-resistant Staphylococcus aureus skin and soft tissue infections (SSTIs).

Methods: This was a prospective, observational study in 13 primary care clinics. Primary care providers collected clinical data, wound swabs, and 90-day follow-up information. Patients were considered to have “moderate or complicated” SSTIs if they had a lesion ≥5 cm in diameter or diabetes mellitus. Treatment failure was evaluated within 90 days of the initial visit. Cost estimates were obtained from federal sources.

Results: Overall, treatment failure occurred in 21% of patients (21 of 98) at a mean additional cost of $1,933.71 per patient. In a subgroup analysis of patients who received incision and drainage, those with moderate or complicated SSTIs had higher rates of treatment failure than those with mild or uncomplicated SSTIs (36% vs. 10%; P=.04).

Conclusions: One in 5 patients presenting to a primary care clinic for a methicillin-resistant S. aureus SSTI will likely require additional interventions at an associated cost of almost $2,000 per patient. Baseline risk stratification and new treatment approaches are needed to reduce treatment failures and costs in the primary care setting.

  • Antibiotics
  • Cost of Illness
  • Epidemiology
  • Infectious Diseases
  • Practice-based Research
  • Primary Health Care

Community-acquired (CA) methicillin-resistant Staphylococcus aureus (MRSA) skin and soft tissue infections (SSTIs) are commonplace in community health care settings.1⇓⇓–4 Furthermore, patients with CA-MRSA SSTIs have a high incidence of treatment failure and recurrence. Two recent studies involving urgent and primary care clinics found that 35% of patients with CA-MRSA SSTIs experienced treatment failure and 78% of patients reported a recurrent infection.5,6 Reasons for treatment failure may be multifactorial and include inappropriate antibiotics, antibiotic resistance, and disease severity; however, studies evaluating mechanisms of treatment failure are limited.

The Infectious Diseases Society of America (IDSA) has published 2 evidence-based practice guidelines related to the care of patients with MRSA SSTIs.7,8 The 2005 SSTI guidelines recommend incision and drainage (I&D) for purulent SSTIs.7 I&D is an important treatment modality for MRSA SSTIs because approximately 80% to 90% will present as purulent infections.4,9 Systemic antibiotics are recommended for those patients with multiple lesions, impaired host defenses, extensive cellulitis surrounding the infection, cutaneous gangrene, and systemic manifestations.7

The 2011 MRSA guidelines also emphasize the use of I&D for MRSA SSTIs with drainable foci.8 These guidelines recommend adjunctive antibiotics for the same populations identified in the 2005 IDSA SSTI guidelines as well as patients at extremes of age, those with SSTIs in areas that are difficult to drain (eg, face, hand, genitalia), and in those who do not respond to I&D alone. The 2011 IDSA MRSA guidelines define the “impaired host defenses” category as those patients with diabetes, neoplasms, and human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS). The guidelines reiterate that these patients should receive adjunctive antibiotics regardless of other patient characteristics. These recommendations are supported by a recent systematic review that suggests oral generic anti-MRSA antibiotics (eg, clindamycin, doxycycline, and trimethoprim-sulfamethoxazole) may provide additional benefit to I&D alone for purulent MRSA SSTIs.10 Taken together, this information indicates that I&D plus anti-MRSA antibiotics is the standard of care for most patients with purulent MRSA SSTIs.

There are several severity classification rules for SSTIs7,8,11⇓–13; however, the best classification rule is unknown.14 Without a well-recognized rule, patients with large abscesses or significant comorbidities, including diabetes, may receive less aggressive therapy than is warranted. This may be partially responsible for the high rate of treatment failure and recurrence in the community setting.

Several studies have quantified the prevalence of CA-MRSA SSTIs in the primary care setting and described the management of these infections.6,15,16 Levy and Daly15 conducted a large prospective study assessing the management of SSTIs in primary care clinics within the Iowa Research Network. Among their many important findings, the investigators found that patients who received initial I&D had a shorter time to disease resolution (11.4 days versus 13.6 days) than patients who did not receive initial I&D.15 Members of our own research group have conducted 2 studies investigating CA-MRSA SSTIs involving the South Texas Ambulatory Research Network (STARNet), a practice-based research network.6,16 The first study used a “card system” to collect data on patients with CA-MRSA SSTIs seen between April 2007 and January 2008.6 The chief findings were identification of CA-MRSA risk factors and high prevalence of CA-MRSA SSTIs (67%) in this region. The second study enrolled a new set of patients seen in STARNet clinics between 2009 and 2010.16 This largely descriptive study involved the collection of clinical data, microbiologic specimens, and digital pictures of the infections. The major findings were the prevalence of CA-MRSA SSTIs (61%) and a description of the initial treatment patterns in the primary care setting.

The study described in this article is a continuation of the second STARNet CA-MRSA SSTI study. New support enabled us to expand the original cohort, collect 90-day treatment outcomes, and perform a cost assessment. This study investigates possible causes for treatment failure, including failure to incise and drain purulent infections and a reluctance to administer adjunctive antibiotics to patients with more severe infections. Finally, it also provides estimates for the incidence of treatment failure and associated costs.

Methods

This was a multisite, prospective, community-based, observational cohort study pursued in collaboration with STARNet and comprising 108 urban, suburban, and rural primary care clinics distributed throughout the south Texas region. Health care providers at 13 STARNet clinics prospectively enrolled patients for this study. Similar to the other STARNet clinics, these 13 clinics serve a predominately Hispanic and non-Hispanic white population. Unlike the other STARNet clinics, these 13 clinics provide care to a largely underserved population, many of whom do not have medical insurance. Patients were eligible for enrollment in the study if they provided informed consent, were ≥18 years old, presented with a SSTI to one of the participating clinics, and their managing clinician suspected MRSA. This analysis was further limited to patients confirmed to have MRSA via microbiology tests conducted in the principal investigator's (CRF) research laboratory, those with baseline SSTI severity and treatment data, and those with 90-day follow-up data. No protocols or educational interventions were implemented as part of this observational study. Patients were excluded if they were pregnant, incarcerated, or had impaired decision-making capacity. The University of Texas Health Science Center at San Antonio Institutional Review Board granted approval for this study.

Study investigators provided the clinics with English and Spanish informed consent forms, a digital camera, a portable biohazard container, and individually labeled study kits, as previously described.16 STARNet clinicians were instructed to obtain informed consent from patients, record demographic and clinical information on the patient data card, obtain a wound culture, crush the ampule to release modified Stuart's media onto the tip of the swab for preservation during transport, and capture digital pictures of the infection site. Clinic staff contacted the principal investigator (CRF) when they enrolled a patient. The principal investigator retrieved the data cards, wound swabs, and pictures from the study sites and returned these materials to his research laboratory for processing. Clinics were compensated $50 for each patient enrolled in the study.

Wound swabs were submitted in transport media and then were plated directly onto prefilled tryptic soy agar plates with 5% sheep blood (Remel, Lenexa, KS) and incubated for 18 to 24 hours at 35 to 37°C. If the isolate did not grow, the culture was replated up to 2 more times. If growth did not occur after three attempts, “no growth” was recorded. If growth occurred, isolates morphologically consistent with S. aureus were subcultured once onto another blood agar plate under the same conditions to facilitate logarithmic growth. Next, the suspect isolates were plated onto MRSASelect chromogenic agar (Bio-Rad Laboratories, Hercules, CA) plates for identification and isolation of MRSA; incubation occurred for 18 to 28 hours at 35 to 37°C, protected from light. Pink colonies on the MRSASelect agar were indicative of MRSA. These methods have been used previously by this research group to identify MRSA SSTIs in a primary care setting.16

Classification of Severity

The severity of the infection was categorized using a modified version of 2 U.S. Food and Drug Administration (FDA) classification schemes. This modified classification scheme has also been used in a prior study.16 The FDA's 1998 Guidance for Industry SSTI document defines “complicated” infections as those that penetrate the deeper soft tissues, those for which significant surgical intervention is necessary, and those occurring in patients with comorbid conditions that may hinder treatment response (eg, diabetes mellitus or HIV).12 A more recent FDA guidance document classifies abscesses affecting a body surface area ≥75 cm2 as “major abscesses” and those affecting an area of <5 cm from the peripheral margin of the abscess as “minor abscesses.”13 The modified scheme classifies patients as “moderate or complicated” if they had a lesion ≥5 cm in diameter, diabetes mellitus, or both. Patients who do not exhibit these characteristics are considered to have “mild or uncomplicated” infections.

Health Outcomes

Participating clinics were asked to collect, via medical chart review, additional follow-up information regarding events that transpired after the initial clinic visit. Clinic personnel used a standardized follow-up form that requested information regarding patient age; medical history (eg, peripheral vascular disease, chronic noninfectious skin disorder, HIV/AIDS, cancer, actively receiving chemotherapy, immunosuppressed at time of visit); type of infection (eg, furuncle, abscess, cellulitis, other); and events occurring within 90 days of the initial clinic visit. This form was collected by the principal investigator (CRF) or returned electronically, void of any protected health information.

Information from the 90-day follow-up was used to assess the incidence of treatment failure. Patients were considered to have experienced treatment failure if any of the following occurred within 90 days of their initial visit: (1) change in antibiotic therapy, (2) I&D (after initial I&D or receipt of initial antibiotics only) (3) SSTI at a new site, (4) SSTI at the same site, (5) emergency department visit, or (6) hospital admission.

Data and Statistical Analysis

JMP 9.0 statistical software (SAS Institute, Cary, NC) was used for all statistical analyses. Fisher exact and χ2 tests were used to compare nominal variables, Student t test was used to compare normally distributed numeric variables, and the Wilcoxon Rank-Sum test was used to compare ordinal and nonnormally distributed numeric variables.

A cost analysis was performed from the perspective of the health insurance payer. As such, indirect medical costs, such as loss of productivity, were not assessed in this study. Direct medical costs (eg, hospital admission and I&D) were derived using estimates from the Agency for Healthcare Research and Quality.17⇓⇓–20 Agency for Healthcare Research and Quality national average drug acquisition costs, obtained from the Centers for Medicare & Medicaid Services, were used to estimate drug costs (Table 1). In patients with multiple interventions or repeated interventions of the same type during the 90-day follow-up period, the cost per intervention was multiplied by the total number of each type of intervention. All costs were then summed for patients with multiple types of failure (eg, subsequent I&D and change in antibiotic therapy). All costs were incurred during a 32-month period (February 2009 to October 2011) and therefore were adjusted to 2011 United States (U.S.) dollars using national medical consumer price index (MCPI) inflation rates.21 The following equation was used to perform the cost discounting:

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Table 1. Estimated Additional Costs of Treatment Failure

2011 Cost=(cost estimate for resource in year X)x (1 + MCPI rate for years between year X and 2011).

Results

Primary Analysis

A total of 265 cases were collected from 13 primary care clinics over a 32-month period. From 12 clinics, 137 cases had MRSA-positive cultures (MRSA rate, 52%). Initial treatment data were missing for 7 patients and data necessary to classify SSTI severity were missing for 5 patients. Of the 125 remaining cases, 98 patients from 10 clinics had 90-day follow-up information available for this analysis. The patients had a mean age of 42 years and most were Hispanic (74%). More than half of the patients (52%) had a body mass index ≥30 kg/m2, indicating obesity. Many patients had no medical insurance (43%).

Figure 1 depicts the distribution of patients into the 2 categories of SSTI severity. Nearly two-thirds of patients had moderate or complicated MRSA SSTIs. The most common characteristic placing patients into the moderate or complicated severity category was lesion size ≥5 cm in diameter (57%); 18% of patients had diabetes alone and 25% had both characteristics. Patients with moderate or complicated MRSA SSTIs were more likely to be Hispanic (83% vs 60%; P=.05) and have a body mass index ≥30 kg/m2 (61% vs 33%; P=.01) compared with those with mild or uncomplicated MRSA SSTIs. No other characteristics differed significantly between groups.

Figure 1.
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Figure 1.

Severity classification and qualifying characteristics of methicillin-resistant Staphylococcus aureus skin and soft tissue infections (n=98).

Of all patients with an MRSA SSTI, 21% experienced treatment failure (n=21 of 98 patients). Treatment failure occurred in 27% of patients in the moderate or complicated group and 11% of patients in the mild or uncomplicated group (P=.08). In the moderate/complicated group, the failure rate was 60% for those patients who received I&D alone and 32% for those patients who received I&D plus antibiotics (P=.33). This trend was not present in the mild/uncomplicated group. The mean additional cost of treatment failure was $1,933.70: $2,093.40 in the moderate or complicated group versus $1,255.02 in the mild or uncomplicated group.

Change in antibiotics was the most common indicator of treatment failure (81%). A new SSTI was present in 43% of patients, 24% required additional I&D, 24% were subsequently seen in the emergency department, 10% had a recurrent SSTI, and 5% were admitted to the hospital. There were no significant differences in the types of treatment failure between the 2 severity groups (P > .05 for all comparisons) (Figure 2).

Figure 2.
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Figure 2.

Type of treatment failure.*

*There were no significant differences in the types of treatment failure between the two severity groups (p > 0.05 for all comparisons). I&D, incision and drainage; SSTI, skin and soft tissue infections.

The mean time to treatment failure was 16.9 days. Time to treatment failure was 11.8 days in the moderate or complicated severity group and 38.8 days in the mild or uncomplicated group (P=.06). More than half (59%) of all failures in the moderate or complicated severity group occurred within 10 days of the initial clinic visit. In contrast, only 25% of failures in the mild or uncomplicated occurred within 10 days of the initial clinic visit.

The trunk and lower extremity were the most common infection sites. SSTIs in areas that are difficult to drain (eg, face, hand, genital area) accounted for 13% of all SSTIs. SSTI location (eg, axilla, buttock, face, groin, hand, head/neck, lower/upper extremities) did not differ significantly between the 2 severity groups.

The most common initial treatments were I&D plus antibiotics (57%), antibiotics alone (33%), and I&D alone (6%). Two patients did not receive I&D or antibiotics at the initial visit; instead they were instructed to return for follow-up at a later date. One patient was referred for surgery. There were no significant differences in initial treatment modality between the 2 severity groups (Table 2).

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Table 2. Initial Treatment Strategy (n=98)*

Overall, 89 of 98 patients (91%) received antibiotic therapy. The rate of antibiotic therapy was similar between the mild or uncomplicated and moderate or complicated severity groups (94% vs 88%). Of those receiving antibiotic therapy, the most common antibiotic regimens were trimethoprim/sulfamethoxazole monotherapy (72%), combination therapy (18%), doxycycline monotherapy (3%), clindamycin monotherapy (3%), cephalexin monotherapy (2%), and mupirocin ointment monotherapy (1%). Of all the combination therapy regimens, 75% contained trimethoprim-sulfamethoxazole. Figure 3 illustrates the initial choice of antibiotic for the 2 severity groups. There were no significant differences in the use of antibiotics or the selection of initial antibiotic therapies between the 2 severity groups.

Figure 3.
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Figure 3.

Initial antibiotic choice (n=98).*

*There was no statistically significant difference in the initial antibiotic choice between patients with Mild or Uncomplicated infections as compared to patients with Moderate or Complicated infections (Chi-square test for homogeneity, p = 0.71). TMP/SMX, trimethoprim-sulfamethoxazole.

Subgroup Analysis: Patients Receiving I&D

When the analysis was limited to only those patients who received I&D, the most common initial treatment was I&D plus antibiotics (90%); I&D alone was performed on the remaining 10% of patients. Once again, there were no significant differences in initial treatments between the 2 severity groups.

Of the patients with an MRSA SSTI who received I&D, 27% experienced treatment failure (n=17 of 62 patients). Moderate or complicated patients were more than 3 times as likely to experience treatment failure compared with mild or uncomplicated patients (36% vs 10%; P=.04) (Figure 4). There were no significant differences in the type of treatment failure between the 2 severity groups (P > .05 for all comparisons). The overall mean time to treatment failure was 16.6 days. The mean time to treatment failure was 12.3 days in the moderate or complicated severity group and 49.0 days in the mild or uncomplicated group (P=.17). The mean additional cost associated with treatment failure was $2,174.05 overall and was similar between the 2 severity groups ($2,281.36 vs $2,132.46).

Figure 4.
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Figure 4.

Proportion of patients with treatment failure: patients receiving incision and drainage (n=62).*

There was a statistically significant difference in the rate of treatment failure between patients with Mild or Uncomplicated infections as compared to patients with Moderate or Complicated infections (p = 0.04).

Discussion

This study measures the incidence of treatment failure and additional costs associated with failure for outpatients receiving oral antibiotics for MRSA SSTIs. This study reveals a high rate of treatment failure (21%) and considerable associated costs (mean, $1,933.71 per patient). These results suggest that baseline risk stratification and new treatment approaches are needed to reduce treatment failures and costs in the primary care setting.

Incidence of Treatment Failure

A previous study of S. aureus SSTIs treated in the outpatient setting demonstrated a treatment failure rate of 18%, similar to that identified by our study.22 Other studies of MRSA SSTIs demonstrated higher rates of treatment failure.

A study by Menzin et al23 identified a treatment failure rate of 37%; however, the study was conducted exclusively using hospitalized patients, who are likely to have more severe infections than outpatients. Furthermore, hospitalized patients are followed more closely by health care providers who are better able to detect complications and new infections. Indeed, studies have shown that outpatients may not be as likely as health care professionals to recognize new or recurrent skin infections, even with verbal and printed instructions.24,25 In addition, the treatment failure definition used by Menzin et al may have inflated the true rate of treatment failure. Menzin et al's definition classified patients who switched from intravenous to oral therapy as treatment failures. Transitioning from intravenous to oral antimicrobials is a common practice in hospitals and has been shown to have beneficial effects, including decreased costs, reduced incidence of catheter-related infections, and decreased hospital length of stay26⇓⇓–29; therefore, we do not believe this type of change should be considered to be a treatment failure.

A second study by Frei et al5 identified a treatment failure rate of 35%; however, nearly half of the patients in that study were hospitalized. As previously mentioned, this might have resulted in greater identification of treatment failure compared with an outpatient population. In addition, the definition of treatment failure used by Frei et al included subsequent positive MRSA cultures as one of the criteria for treatment failure. This criterion was not used in the present study. When this additional criterion was eliminated, the failure rate reported by Frei et al becomes similar to that observed in the present study (25% vs 21%).

Additional Cost of Treatment Failure

The patients in this study who failed therapy incurred additional health care costs of almost $2,000 per patient. This is the first study to quantify this cost in the primary care setting. The mean cost of treatment failure observed in this cohort is considerably less than those costs described in prior cohorts. Other studies have calculated the cost of failure for hospitalized patients23 and patients managed at skilled nursing facilities or outpatient infusion clinics.22 Hospital room and board and outpatient infusion services accounted for 50% and 25% of the total costs in prior studies, respectively. Oral therapy may be another reason for the lower costs observed in this cohort. Studies by Menzin et al23 and Marton et al22 both demonstrated decreases in total cost of 12% and 30%, respectively, when oral antibiotic therapy was chosen instead of intravenous antibiotic therapy.

This study also demonstrated higher treatment failure costs in patients with more severe MRSA SSTIs. This underscores the need for appropriate risk stratification at baseline.

Validation of the Disease Severity Rule

This study demonstrates that objective criteria available at baseline can be used to predict which patients are more likely to fail therapy with oral antibiotics. Simply put, patients with diabetes or lesions ≥5 cm in diameter were categorized as having moderate or complicated infections. Patients with moderate or complicated infections had a failure rate more than twice as high as those patients with mild or uncomplicated infections. The difference was even more pronounced in a subgroup of patients who received I&D. Two prior studies have reported higher rates of treatment failure in patients with lesions ≥5 cm in diameter.30,31 Furthermore, patients with diabetes have been shown to have more SSTI-related hospital and emergency department visits, longer hospital stays, and more infection-related deaths compared with nondiabetics.32,33 This simple rule provides primary care clinicians with a quick and easy classification tool to estimate the risk of treatment failure in patients with an MRSA SSTI.

Limitations

This study has limitations. First, the cohort encompassed only patients in south Texas, which may limit the potential to generalize these results to other geographic regions. Second, there were more obese and Hispanic patients in the moderate or complicated severity group, likely reflecting a strong correlation between obesity, Hispanic ethnicity, and diabetes. Third, SSTIs can be caused by several pathogens, including staphylococci (MRSA and methicillin-sensitive S. aureus), streptococci, and Gram-negative bacteria. This study focuses on the subset of patients with cultures positive for MRSA. These patients may be more severely ill than the general population with SSTIs; therefore, the failure rate reported in this study of patients with MRSA SSTIs cannot be extrapolated to all patients with SSTIs. Fourth, 90-day follow-up information was captured retrospectively by the clinic personnel using the medical records available at their clinic. Patients who did not have additional visits (ie, did not return to the clinic or went to another clinic) were counted as treatment successes. In addition, clinicians may have changed their behavior to fit expected results of this observational study; a Hawthorne effect cannot be excluded. For these reasons, our study could have possibly underestimated the true rate of treatment failure. Finally, I&D techniques were not standardized among the clinics or treating clinicians, and differences in I&D techniques may have influenced SSTI outcomes.

Despite these limitations, this study has important strengths. It is the first to estimate the additional cost of MRSA SSTI treatment failure in the primary care setting. One in 5 patients presenting to a primary care clinic for the treatment of a MRSA SSTI will likely require additional intervention at an associated cost of almost $2,000 per patient. In addition, objective criteria, available at baseline, can be used to predict which patients are more likely to need additional interventions. Ultimately, baseline risk stratification and new treatment approaches are needed to reduce treatment failures and costs in the primary care setting.

Acknowledgments

The authors thank their South Texas Ambulatory Research Network (STARNet) and Area Health Education Center colleagues who assisted with the administrative aspects of the study: Holly Hayes, Stephanie Reyes, Marisa Rodriquez, and Paula Winkler. The authors also thank Kyllie Ryan-Hummel and Kyle Fischer (research assistants at the University of Texas Health Science Center, San Antonio), who formatted the final manuscript for submission to the Journal.

Notes

  • This article was externally peer reviewed.

  • Funding: This study was funded by an investigator-initiated research grant from Pfizer (CRF). Support also was provided by the U.S. National Institutes of Health in the form of a KL2 Career Development Award (NIH/NCRR 5KL2 RR025766) (CRF).

  • Conflict of interest: none declared.

  • Received for publication September 4, 2012.
  • Revision received December 20, 2012.
  • Accepted for publication January 2, 2013.

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The Journal of the American Board of Family     Medicine: 26 (5)
The Journal of the American Board of Family Medicine
Vol. 26, Issue 5
September-October 2013
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Treatment Failure and Costs in Patients With Methicillin-Resistant Staphylococcus aureus (MRSA) Skin and Soft Tissue Infections: A South Texas Ambulatory Research Network (STARNet) Study
Matthew J. Labreche, Grace C. Lee, Russell T. Attridge, Eric M. Mortensen, Jim Koeller, Liem C. Du, Natalie R. Nyren, Lucina B. Treviño, Sylvia B. Treviño, Joel Peña, Michael W. Mann, Abilio Muñoz, Yolanda Marcos, Guillermo Rocha, Stella Koretsky, Sandra Esparza, Mitchell Finnie, Steven D. Dallas, Michael L. Parchman, Christopher R. Frei
The Journal of the American Board of Family Medicine Sep 2013, 26 (5) 508-517; DOI: 10.3122/jabfm.2013.05.120247

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Treatment Failure and Costs in Patients With Methicillin-Resistant Staphylococcus aureus (MRSA) Skin and Soft Tissue Infections: A South Texas Ambulatory Research Network (STARNet) Study
Matthew J. Labreche, Grace C. Lee, Russell T. Attridge, Eric M. Mortensen, Jim Koeller, Liem C. Du, Natalie R. Nyren, Lucina B. Treviño, Sylvia B. Treviño, Joel Peña, Michael W. Mann, Abilio Muñoz, Yolanda Marcos, Guillermo Rocha, Stella Koretsky, Sandra Esparza, Mitchell Finnie, Steven D. Dallas, Michael L. Parchman, Christopher R. Frei
The Journal of the American Board of Family Medicine Sep 2013, 26 (5) 508-517; DOI: 10.3122/jabfm.2013.05.120247
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